Phase Based Mel Frequency Cepstral Coefficients for Speaker Identification

被引：0
|
作者：
Srivastava, Sumit [1 ]
Chandra, Mahesh [2 ]
Sahoo, G. [1 ]
机构：
[1] BIT Mesra, Dept Comp Sci & Enginnering, Ranchi, Bihar, India
[2] BIT Mesra, Dept Elect & Commun Enginnering, Ranchi, Bihar, India
来源：
INFORMATION SYSTEMS DESIGN AND INTELLIGENT APPLICATIONS, VOL 3, INDIA 2016 | 2016年 / 435卷
关键词：
PMFCC; Phase; Hindi digits; GMM;
D O I：
10.1007/978-81-322-2757-1_31
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper new Phase based Mel frequency Cepstral Coefficient (PMFCC) are used for speaker identification. GMM with VQ are used as a classifier for classification of speakers. The identification performance of proposed features is compared with identification performance of MFCC features and phase features. The performance of PMFCC features has been found superior compared to MFCC features and phase features. Ten Hindi digits database of fifty speakers is used for simulation of results. This paper also explore the usefulness of phase information for speaker recognition.
引用
收藏
页码：309 / 316
页数：8
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